transformer: Implementation of Transformer Deep Neural Network with Vignettes

Transformer is a Deep Neural Network Architecture based i.a. on the Attention mechanism (Vaswani et al. (2017) <doi:10.48550/arXiv.1706.03762>).

Version: 0.2.0
Imports: attention (≥ 0.4.0)
Suggests: covr, testthat (≥ 3.0.0)
Published: 2023-11-10
Author: Bastiaan Quast ORCID iD [aut, cre]
Maintainer: Bastiaan Quast <bquast at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: transformer results

Documentation:

Reference manual: transformer.pdf

Downloads:

Package source: transformer_0.2.0.tar.gz
Windows binaries: r-devel: transformer_0.2.0.zip, r-release: transformer_0.2.0.zip, r-oldrel: transformer_0.2.0.zip
macOS binaries: r-release (arm64): transformer_0.2.0.tgz, r-oldrel (arm64): transformer_0.2.0.tgz, r-release (x86_64): transformer_0.2.0.tgz
Old sources: transformer archive

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